10.1371/journal.pone.0025357 Andrew D. Kelly Andrew D. Kelly Susanne B. Breitkopf Susanne B. Breitkopf Min Yuan Min Yuan Jeffrey Goldsmith Jeffrey Goldsmith Dimitrios Spentzos Dimitrios Spentzos John M. Asara John M. Asara Metabolomic Profiling from Formalin-Fixed, Paraffin-Embedded Tumor Tissue Using Targeted LC/MS/MS: Application in Sarcoma Public Library of Science 2011 metabolomic profiling paraffin-embedded targeted sarcoma 2011-10-03 00:46:02 Dataset https://plos.figshare.com/articles/dataset/Metabolomic_Profiling_from_Formalin_Fixed_Paraffin_Embedded_Tumor_Tissue_Using_Targeted_LC_MS_MS_Application_in_Sarcoma/132762 <div><p>The relatively new field of onco-metabolomics attempts to identify relationships between various cancer phenotypes and global metabolite content. Previous metabolomics studies utilized either nuclear magnetic resonance spectroscopy or gas chromatography/mass spectrometry, and analyzed metabolites present in urine and serum. However, direct metabolomic assessment of tumor tissues is important for determining altered metabolism in cancers. In this respect, the ability to obtain reliable data from archival specimens is desirable and has not been reported to date. In this feasibility study, we demonstrate the analysis of polar metabolites extracted directly from ten formalin-fixed, paraffin-embedded (FFPE) specimens, including five soft tissue sarcomas and five paired normal samples. Using targeted liquid chromatography-tandem mass spectrometry (LC/MS/MS) via selected reaction monitoring (SRM), we detect an average of 106 metabolites across the samples with excellent reproducibility and correlation between different sections of the same specimen. Unsupervised hierarchical clustering and principal components analysis reliably recovers <em>a priori</em> known tumor and normal tissue phenotypes, and supervised analysis identifies candidate metabolic markers supported by the literature. In addition, we find that diverse biochemical processes are well-represented in the list of detected metabolites. Our study supports the notion that reliable and broadly informative metabolomic data may be acquired from FFPE soft tissue sarcoma specimens, a finding that is likely to be extended to other malignancies.</p> </div>